Blood pressure estimation

Patent metadata

Field	Value
Publication number	US-2024298903-A1
Application number	US-202218271943-A
Country	US
Kind code	A1
Filing date	Jan 11, 2022
Priority date	Jan 13, 2021
Publication date	Sep 12, 2024
Grant date	—

Abstract

According to an aspect, there is provided a computer-implemented method of estimating blood pressure of a subject. The method comprises (i) processing ( 101 ) a first blood volume signal to identify a plurality of blood volume signal segments each corresponding to a respective cardiac cycle of the subject, wherein the first blood volume signal comprises measurements of blood volume or changes in blood volume in a body part of the subject in a first time period; (ii) processing ( 103 ) a first respiration signal to identify a plurality of respiration cycles of the subject in the first time period, wherein the first respiration signal represents respiratory activity of the subject during the first time period, and wherein each respiration cycle comprises a plurality of respiration cycle phases; (iii) selecting ( 105 ) a subset of the plurality of blood volume signal segments, wherein the blood volume signal segments selected for the subset are blood volume signal segments corresponding in time to a same respiration cycle phase in the plurality of respiration cycles; and (iv) estimating ( 107 ) blood pressure of the subject based on morphology features of the blood volume signal segments in the subset.

First claim

1 . A computer-implemented method of estimating blood pressure of a subject, the method comprising:
(i) processing a first blood volume signal to identify a plurality of blood volume signal segments each corresponding to a respective cardiac cycle of the subject, wherein the first blood volume signal comprises measurements of blood volume or changes in blood volume in a body part of the subject in a first time period; (ii) processing a first respiration signal to identify a plurality of respiration cycles of the subject in the first time period, wherein the first respiration signal represents respiratory activity of the subject during the first time period, and wherein each respiration cycle comprises a plurality of respiration cycle phases; (iii) selecting a subset of the plurality of blood volume signal segments, wherein the blood volume signal segments selected for the subset are blood volume signal segments corresponding in time to a same respiration cycle phase in the plurality of respiration cycles; and (iv) estimating blood pressure of the subject based on morphology features of the blood volume signal segments in the subset.

2 . A method as claimed in claim 1 , wherein the same respiration cycle phase is one of a transition from inhaling to exhaling, and a transition from exhaling to inhaling.

3 . A method as claimed in claim 2 , wherein the blood volume signal segments selected for the subset are blood volume signal segments corresponding in time to said one of the transition from inhaling to exhaling and the transition from exhaling to inhaling in respective identified respiration cycles.

4 . A method as claimed in claim 1 , wherein the step of processing the first blood volume signal comprises:
determining a quality measure for parts of the first blood volume signal; and processing parts of the first blood volume signal for which the determined quality measure meets a quality criterion to identify the plurality of blood volume signal segments.

5 . A method as claimed in claim 4 , wherein the quality measure relates to: motion artefacts in the first blood volume signal due to relative movement of the subject and a blood volume sensor that obtains the first blood volume signal, and/or an ambient light level in the first blood volume signal.

6 . A method as claimed in claim 1 , wherein the method further comprises:
repeating steps (i) to (iv) for a second blood volume signal and a second respiration signal, wherein the second blood volume signal and the second respiration signal relate to the subject in a second time period; and comparing the estimated blood pressure for the first time period to the estimated blood pressure for the second time period to estimate a change in blood pressure from the first time period to the second time period.

7 . A method as claimed in claim 1 , wherein the morphology features comprise any of:
morphology features determined from a first or second derivative with respect to time of the blood volume signal segments in the subset; and a mean and/or standard deviation of Gaussian shaped functions obtained by decomposing the blood volume signal segments in the subset.

8 . A computer program product comprising a computer readable medium having computer readable code embodied therein, the computer readable code being configured such that, on execution by a suitable computer or processing unit, the computer or processing unit is caused to perform the method of claim 1 .

9 . An apparatus for estimating blood pressure of a subject, the apparatus comprising a processing unit configured to:
(i) process a first blood volume signal to identify a plurality of blood volume signal segments each corresponding to a respective cardiac cycle of the subject, wherein the first blood volume signal comprises measurements of blood volume or changes in blood volume in a body part of the subject in a first time period; (ii) process a first respiration signal to identify a plurality of respiration cycles of the subject in the first time period, wherein the first respiration signal represents respiratory activity of the subject during the first time period, and wherein each respiration cycle comprises a plurality of respiration cycle phases; (iii) select a subset of the plurality of blood volume signal segments, wherein the blood volume signal segments selected for the subset are blood volume signal segments corresponding in time to a same respiration cycle phase in the plurality of respiration cycles; and (iv) estimate blood pressure of the subject based on morphology features of the blood volume signal segments in the subset.

10 . An apparatus as claimed in claim 9 , wherein the same respiration cycle phase is one of: a transition from inhaling to exhaling, and a transition from exhaling to inhaling.

11 . An apparatus as claimed in claim 10 , wherein the blood volume signal segments selected for the subset are blood volume signal segments corresponding in time to said one of the transition from inhaling to exhaling and the transition from exhaling to inhaling in respective identified respiration cycles.

12 . An apparatus as claimed in claim 9 , wherein the processing unit is configured to process the first blood volume signal by:
determining a quality measure for parts of the first blood volume signal; and processing parts of the first blood volume signal for which the determined quality measure meets a quality criterion to identify the plurality of blood volume signal segments.

13 . An apparatus as claimed in claim 12 , wherein the quality measure relates to: motion artefacts in the first blood volume signal due to relative movement of the subject and a blood volume sensor that obtains the first blood volume signal, and/or an ambient light level in the first blood volume signal.

14 . An apparatus as claimed in claim 9 , wherein the processing unit is further configured to:
repeat operations (i) to (iv) for a second blood volume signal and a second respiration signal, wherein the second blood volume signal and the second respiration signal relate to the subject in a second time period; and compare the estimated blood pressure for the first time period to the estimated blood pressure for the second time period to estimate a change in blood pressure from the first time period to the second time period.

15 . An apparatus as claimed in claim 9 , wherein the morphology features comprise any of:
morphology features determined from a first or second derivative with respect to time of the blood volume signal segments in the subset; and a mean and/or standard deviation of Gaussian shaped functions obtained by decomposing the blood volume signal segments in the subset.

Assignees

• Koninklijke Philips Nv

Inventors

• De Groot Koen Theo Johan
• Haakma Reinder
• Gelissen Jozef Hubertus

Classifications

• A61B2562/0219

  Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches · CPC title

• A61B5/7267

  involving training the classification device · CPC title

• A61B5/7253

  characterised by using transforms · CPC title

• A61B5/7239

  using differentiation including higher order derivatives · CPC title

• A61B5/7221

  Determining signal validity, reliability or quality (preventing, reducing or removing noise induced by motion artefacts A61B5/7207; noise originating from a therapeutic or surgical apparatus A61B5/7217) · CPC title